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How Learning Python Can Improve Your PPC Campaigns

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Python has a major focus in SEO but what about PPC? The two disciplines are often treated as polar opposites but they share common goals and adding a bit of Python to a PPC campaign can do wonders for improving conversions, CTR, and time spent.

But before we have a look at how Python can boost your PPC performance, we need to outline what the language is all about.

What is Python?

Python is a programming language created by Guido van Rossum in the 1980s and publicly released in 1991. van Rossum wanted Python to emphasize code readability with five philosophical pillars:

  • Beautiful is better than ugly
  • Explicit is better than implicit
  • Simple is better than complex
  • Complex is better than complicated
  • Readability counts

Its structure and syntax help users to write logical code regardless of project size.

Companies that use Python include Google (naturally), Netflix, YouTube, NASA, IBM, Mozilla, and Disney.

Is it easy to learn?

The entry-level for Python is very low. Everything is based on logic and the language shares a lot of its syntax with other well-known languages such as JavaScript and C++. And if there isn’t a function that can solve your problem, you can create your own.

How do I install it?

As Jacob Fairclough said, Python can be difficult to install for some users. But that depends on your operating system.

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For most Mac users, Python comes built-in so you can use your Terminal to access it. That’s not the case for Windows users. The recommended way is via Anaconda as this also installs a lot of useful libraries to use (which I’ll explain in more detail later).

Google has its own environment as well called Google Colab.

Python techniques to help your PPC campaigns

In the words of Aristotle, “for the things we have to learn before we can do them, we learn by doing them”. And Python is no exception. Practicing Python in SEO is common practice and it’s the same for PPC.

Understanding other languages is important but Python can save professionals a lot of time by automating jobs that would normally take hours.

The amount of data you can obtain from a PPC campaign can grow very quickly so a way to organize and automate it into a logical structure would make everyone’s lives a lot easier in the long run.

Two of the biggest applications of Python are AI and machine learning and they’re also the main bridges between the language and PPC. As Danielle Strouther said in her article AI For PPC Is Only Useful If You Use External Tools, “using AI for PPC is no longer an option. It’s a necessity.” So that’s what we’ll look at – integrating Python with external tools and software.

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Other things you can do with Python that can help you with PPC management includes:

  • Data scraping
  • Data analysis and mining
  • Data visualization
  • Natural language processing (NLP)

Python + Google Ads

We all know how laborious Google Ads management can be. So Google created an API for its ad platform so users can automate a wide range of PPC-related tasks. You can find a list of them on the Client Library page.

One programmer created a script for KPI reporting which would come in handy for clients, shareholders, and colleagues.

Python + Google Search Console

When you write PPC ads, you want them to convert so your ROI can be as high as possible. Search data from Search Console can help find areas to improve or examples of success to capitalize on.

Passion Digital created a script that analyses search queries from Search Console to gain insights to improve SEO and PPC performance. It does this by finding keywords and phrases with poor conversion rates and CPA using those terms.

Python + Excel/Google Sheets

One of the most common Python workflow combos involves Excel and Google Sheets.

As data can be exported as CSV files and spreadsheets by most external tools, it’s easy to import them into a spreadsheet program. And Python loves data.

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The list of ways to use Python and Excel with PPC data is exhaustive. You could use it to project future trends, CTR prediction, campaign creation, keyword generation, bid modifying, account structure analysis, customer match lists, geolocation targeting.

Python + Google Data Studio

Google Data Studio is a powerful tool for data visualization and it’s free to use. So combining it with Python means a streamlined approach to data viz and reporting.

There are also paid tools like Panoply which can integrate Data Studio and Python along with a multitude of services like Salesforce, Zendesk, and Google Analytics. Suddenly you have a large network of data from every department – sales, dev, customer support, project management, design, web analytics. Phew!

You can even spy on your competitors using Python and create PPC reports and graphs with Data Studio to show the results.

Python + Google

The SERPs are more than just a display of results. They can be used as their own data source and give an insight into how well you and your competitors are doing.

With APIs like Serpstack, you can extract data about ads from any SERP and analyze things like position, title and description optimization, sitelinks, and displayed URLs. You can also leverage this with organic results to find new potential keywords you can bid on and improve your campaigns.

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Python + Facebook

In 2017, Facebook made its Prophet open source. The forecasting tool is accessible through Python and R (another programming language) and is optimized for businesses to forecast trends, whether they’re hourly, daily, weekly, or seasonal.

It’s highly advanced and mainly for large scale business use but if you have the expertise and the resources, Prophet has the potential to streamline major paid campaigns.

Useful libraries, modules, and APIs

Vanilla Python can do most jobs but its power lies in all the libraries, modules and APIs you can use. Although they all share similarities, they’re all different additions. A module is a Python file containing functions, variables, and methods, a library is a collection of modules and pre-defined functions that let you perform actions without writing the code yourself, while an API is an interface set of standards and instructions.

Here’s a list of some useful ones you can use.

  • Pandas (library) – Pandas is an open-source library that makes data structures and data analysis tools. You can make tables, create ordered and unordered data series and “dataframes”, join, merge, and split them. It’s probably the most flexible data analysis tool to have if you’re using Python.
  • CSV (module) – This module goes hand-in-hand with pandas as it allows you to export data into a CSV.
  • Requests (library) – Requests is a must if you’re scraping web data. It sends requests to HTTP pages, allowing you access to pull anything from a webpage. If you’re planning to scrape SERP data, it’s an essential library to use.
  • Beautiful Soup (library) – Beautiful Soup is the companion to requests, letting you take out everything inside an HTTP page.
  • Serpstack (API) – The serpstack API allows you to scrape Google SERP data in real-time and at scale and it lets you export the data in JSON and CSV formats (depending on your account level).
  • Google APIs (API) – Google being Google, they have a library of APIs you can use for all kinds of things.
  • TensorFlow (library) – One of the best libraries for machine learning.
  • SciKit Learn (library) – Another machine learning library for predictive data analysis

Other resources

Summary

Learning a programming language can seem daunting but Python is one of the easiest and most accessible languages out there. Its automation and analysis capabilities have a wide range of uses and it can help to simplify complex data and automate time-consuming tasks. Nobody wants to make their jobs harder!

If I had to give some takeaway advice to remember while you learn, I’d say:

Don’t let FOMO get to you

When I started learning Python, I got carried away with jumping into projects without knowing all the techniques. Everyone on Twitter was making amazing scripts and I was still learning about lists and loops. But then I realized I was never going to get to their level by copying and pasting when I didn’t understand. So I went back to my course and focused solely on that.

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Fully understanding the basics is the only way you’ll be able to build up to the advanced techniques. And there’s no expiration date on education.

Practice, practice, practice

Most courses come with practice examples. Aside from those, you should always test what you’ve learned. It doesn’t have to be part of a big project, just something small so you can get the hang of the techniques.

Stay curious

Learning something new isn’t always easy. You’ll get frustrated when things don’t work and you may need some time away if it gets too much. But never lose your curiosity. Programming languages have so many applications and some haven’t even been discovered yet. Stay curious and you might find one.

Find others who are learning

Communities are great places to improve your learning. Here are some great places to collaborate and grow with Python:

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Tinuiti Marketing Analytics Recognized by Forrester

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Tinuiti Marketing Analytics Recognized by Forrester

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By Tinuiti Team

Rapid Media Mix Modeling and Proprietary Tech Transform Brand Performance

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Tinuiti, the largest independent full-funnel performance marketing agency, has been included in a recent Forrester Research report titled, “The Marketing Analytics Landscape, Q2 2024.” This report comprehensively overviews marketing analytics markets, use cases, and capabilities. B2C marketing leaders can use this research by Principal Analyst Tina Moffett to understand the intersection of marketing analytics capabilities and use cases to determine the vendor or service provider best positioned for their analytics and insights needs. Moffett describes the top marketing analytics markets as advertising agencies, marketing dashboards and business intelligence tools, marketing measurement and optimization platforms and service providers, and media analytics tools.

As an advertising agency, we believe Tinuiti is uniquely positioned to manage advertising campaigns for brands including buying, targeting, and measurement. Our proprietary measurement technology, Bliss Point by Tinuiti, allows us to measure the optimal level of investment to maximize impact and efficiency. According to the Forrester report, “only 30% of B2C marketing decision-makers say their organization uses marketing or media mix modeling (MMM),” so having a partner that knows, embraces, and utilizes MMM is important. As Tina astutely explains, data-driven agencies have amplified their marketing analytics competencies with data science expertise; and proprietary tools; and tailored their marketing analytics techniques based on industry, business, and data challenges. 

Our Rapid Media Mix Modeling sets a new standard in the market with its exceptional speed, precision, and transparency. Our patented tech includes Rapid Media Mix Modeling, Always-on Incrementality, Brand Equity, Creative Insights, and Forecasting – it will get you to your Marketing Bliss Point in each channel, across your entire media mix, and your overall brand performance. 

As a marketing leader you may ask yourself: 

  • How much of our marketing budget should we allocate to driving store traffic versus e-commerce traffic?
  • How should we allocate our budget by channel to generate the most traffic and revenue possible?
  • How many customers did we acquire in a specific region with our media spend?
  • What is the impact of seasonality on our media mix?
  • How should we adjust our budget accordingly?
  • What is the optimal marketing channel mix to maximize brand awareness? 

These are just a few of the questions that Bliss Point by Tinuiti can help you answer.

Learn more about our customer-obsessed, product-enabled, and fully integrated approach and how we’ve helped fuel full-funnel outcomes for the world’s most digital-forward brands like Poppi & Toms.

The Landscape report is available online to Forrester customers or for purchase here

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Ecommerce evolution: Blurring the lines between B2B and B2C

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Ecommerce evolution: Blurring the lines between B2B and B2C

Understanding convergence 

B2B and B2C ecommerce are two distinct models of online selling. B2B ecommerce is between businesses, such as wholesalers, distributors, and manufacturers. B2C ecommerce refers to transactions between businesses like retailers and consumer brands, directly to individual shoppers. 

However, in recent years, the boundaries between these two models have started to fade. This is known as the convergence between B2B and B2C ecommerce and how they are becoming more similar and integrated. 

Source: White Paper: The evolution of the B2B Consumer Buyer (ClientPoint, Jan 2024)

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What’s driving this change? 

Ever increasing customer expectations  

Customers today expect the same level of convenience, speed, and personalization in their B2B transactions as they do in their B2C interactions. B2B buyers are increasingly influenced by their B2C experiences. They want research, compare, and purchase products online, seamlessly transitioning between devices and channels.  They also prefer to research and purchase online, using multiple devices and channels.

Forrester, 68% of buyers prefer to research on their own, online . Customers today expect the same level of convenience, speed, and personalization in their B2B transactions as they do in their B2C interactions. B2B buyers are increasingly influenced by their B2C experiences. They want research, compare, and purchase products online, seamlessly transitioning between devices and channels.  They also prefer to research and purchase online, using multiple devices and channels

Technology and omnichannel strategies

Technology enables B2B and B2C ecommerce platforms to offer more features and functionalities, such as mobile optimization, chatbots, AI, and augmented reality. Omnichannel strategies allow B2B and B2C ecommerce businesses to provide a seamless and consistent customer experience across different touchpoints, such as websites, social media, email, and physical stores. 

However, with every great leap forward comes its own set of challenges. The convergence of B2B and B2C markets means increased competition.  Businesses now not only have to compete with their traditional rivals, but also with new entrants and disruptors from different sectors. For example, Amazon Business, a B2B ecommerce platform, has become a major threat to many B2B ecommerce businesses, as it offers a wide range of products, low prices, and fast delivery

“Amazon Business has proven that B2B ecommerce can leverage popular B2C-like functionality” argues Joe Albrecht, CEO / Managing Partner, Xngage. . With features like Subscribe-and-Save (auto-replenishment), one-click buying, and curated assortments by job role or work location, they make it easy for B2B buyers to go to their website and never leave. Plus, with exceptional customer service and promotional incentives like Amazon Business Prime Days, they have created a reinforcing loyalty loop.

And yet, according to Barron’s, Amazon Business is only expected to capture 1.5% of the $5.7 Trillion addressable business market by 2025. If other B2B companies can truly become digital-first organizations, they can compete and win in this fragmented space, too.” 

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If other B2B companies can truly become digital-first organizations, they can also compete and win in this fragmented space

Joe Albrecht
CEO/Managing Partner, XNGAGE

Increasing complexity 

Another challenge is the increased complexity and cost of managing a converging ecommerce business. Businesses have to deal with different customer segments, requirements, and expectations, which may require different strategies, processes, and systems. For instance, B2B ecommerce businesses may have to handle more complex transactions, such as bulk orders, contract negotiations, and invoicing, while B2C ecommerce businesses may have to handle more customer service, returns, and loyalty programs. Moreover, B2B and B2C ecommerce businesses must invest in technology and infrastructure to support their convergence efforts, which may increase their operational and maintenance costs. 

How to win

Here are a few ways companies can get ahead of the game:

Adopt B2C-like features in B2B platforms

User-friendly design, easy navigation, product reviews, personalization, recommendations, and ratings can help B2B ecommerce businesses to attract and retain more customers, as well as to increase their conversion and retention rates.  

According to McKinsey, ecommerce businesses that offer B2C-like features like personalization can increase their revenues by 15% and reduce their costs by 20%. You can do this through personalization of your website with tools like Product Recommendations that help suggest related products to increase sales. 

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Focus on personalization and customer experience

B2B and B2C ecommerce businesses need to understand their customers’ needs, preferences, and behaviors, and tailor their offerings and interactions accordingly. Personalization and customer experience can help B2B and B2C ecommerce businesses to increase customer satisfaction, loyalty, and advocacy, as well as to improve their brand reputation and competitive advantage. According to a Salesforce report, 88% of customers say that the experience a company provides is as important as its products or services.

Related: Redefining personalization for B2B commerce

Market based on customer insights

Data and analytics can help B2B and B2C ecommerce businesses to gain insights into their customers, markets, competitors, and performance, and to optimize their strategies and operations accordingly. Data and analytics can also help B2B and B2C ecommerce businesses to identify new opportunities, trends, and innovations, and to anticipate and respond to customer needs and expectations. According to McKinsey, data-driven organizations are 23 times more likely to acquire customers, six times more likely to retain customers, and 19 times more likely to be profitable. 

What’s next? 

The convergence of B2B and B2C ecommerce is not a temporary phenomenon, but a long-term trend that will continue to shape the future of ecommerce. According to Statista, the global B2B ecommerce market is expected to reach $20.9 trillion by 2027, surpassing the B2C ecommerce market, which is expected to reach $10.5 trillion by 2027. Moreover, the report predicts that the convergence of B2B and B2C ecommerce will create new business models, such as B2B2C, B2A (business to anyone), and C2B (consumer to business). 

Therefore, B2B and B2C ecommerce businesses need to prepare for the converging ecommerce landscape and take advantage of the opportunities and challenges it presents. Here are some recommendations for B2B and B2C ecommerce businesses to navigate the converging landscape: 

  • Conduct a thorough analysis of your customers, competitors, and market, and identify the gaps and opportunities for convergence. 
  • Develop a clear vision and strategy for convergence, and align your goals, objectives, and metrics with it. 
  • Invest in technology and infrastructure that can support your convergence efforts, such as cloud, mobile, AI, and omnichannel platforms. 
  • Implement B2C-like features in your B2B platforms, and vice versa, to enhance your customer experience and satisfaction.
  • Personalize your offerings and interactions with your customers, and provide them with relevant and valuable content and solutions.
  • Leverage data and analytics to optimize your performance and decision making, and to innovate and differentiate your business.
  • Collaborate and partner with other B2B and B2C ecommerce businesses, as well as with other stakeholders, such as suppliers, distributors, and customers, to create value and synergy.
  • Monitor and evaluate your convergence efforts, and adapt and improve them as needed. 

By following these recommendations, B2B and B2C ecommerce businesses can bridge the gap between their models and create a more integrated and seamless ecommerce experience for their customers and themselves. 

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Streamlining Processes for Increased Efficiency and Results

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Streamlining Processes for Increased Efficiency and Results

How can businesses succeed nowadays when technology rules?  With competition getting tougher and customers changing their preferences often, it’s a challenge. But using marketing automation can help make things easier and get better results. And in the future, it’s going to be even more important for all kinds of businesses.

So, let’s discuss how businesses can leverage marketing automation to stay ahead and thrive.

Benefits of automation marketing automation to boost your efforts

First, let’s explore the benefits of marketing automation to supercharge your efforts:

 Marketing automation simplifies repetitive tasks, saving time and effort.

With automated workflows, processes become more efficient, leading to better productivity. For instance, automation not only streamlines tasks like email campaigns but also optimizes website speed, ensuring a seamless user experience. A faster website not only enhances customer satisfaction but also positively impacts search engine rankings, driving more organic traffic and ultimately boosting conversions.

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Automation allows for precise targeting, reaching the right audience with personalized messages.

With automated workflows, processes become more efficient, leading to better productivity. A great example of automated workflow is Pipedrive & WhatsApp Integration in which an automated welcome message pops up on their WhatsApp

within seconds once a potential customer expresses interest in your business.

Increases ROI

By optimizing campaigns and reducing manual labor, automation can significantly improve return on investment.

Leveraging automation enables businesses to scale their marketing efforts effectively, driving growth and success. Additionally, incorporating lead scoring into automated marketing processes can streamline the identification of high-potential prospects, further optimizing resource allocation and maximizing conversion rates.

Harnessing the power of marketing automation can revolutionize your marketing strategy, leading to increased efficiency, higher returns, and sustainable growth in today’s competitive market. So, why wait? Start automating your marketing efforts today and propel your business to new heights, moreover if you have just learned ways on how to create an online business

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How marketing automation can simplify operations and increase efficiency

Understanding the Change

Marketing automation has evolved significantly over time, from basic email marketing campaigns to sophisticated platforms that can manage entire marketing strategies. This progress has been fueled by advances in technology, particularly artificial intelligence (AI) and machine learning, making automation smarter and more adaptable.

One of the main reasons for this shift is the vast amount of data available to marketers today. From understanding customer demographics to analyzing behavior, the sheer volume of data is staggering. Marketing automation platforms use this data to create highly personalized and targeted campaigns, allowing businesses to connect with their audience on a deeper level.

The Emergence of AI-Powered Automation

In the future, AI-powered automation will play an even bigger role in marketing strategies. AI algorithms can analyze huge amounts of data in real-time, helping marketers identify trends, predict consumer behavior, and optimize campaigns as they go. This agility and responsiveness are crucial in today’s fast-moving digital world, where opportunities come and go in the blink of an eye. For example, we’re witnessing the rise of AI-based tools from AI website builders, to AI logo generators and even more, showing that we’re competing with time and efficiency.

Combining AI-powered automation with WordPress management services streamlines marketing efforts, enabling quick adaptation to changing trends and efficient management of online presence.

Moreover, AI can take care of routine tasks like content creation, scheduling, and testing, giving marketers more time to focus on strategic activities. By automating these repetitive tasks, businesses can work more efficiently, leading to better outcomes. AI can create social media ads tailored to specific demographics and preferences, ensuring that the content resonates with the target audience. With the help of an AI ad maker tool, businesses can efficiently produce high-quality advertisements that drive engagement and conversions across various social media platforms.

Personalization on a Large Scale

Personalization has always been important in marketing, and automation is making it possible on a larger scale. By using AI and machine learning, marketers can create tailored experiences for each customer based on their preferences, behaviors, and past interactions with the brand.  

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This level of personalization not only boosts customer satisfaction but also increases engagement and loyalty. When consumers feel understood and valued, they are more likely to become loyal customers and brand advocates. As automation technology continues to evolve, we can expect personalization to become even more advanced, enabling businesses to forge deeper connections with their audience.  As your company has tiny homes for sale California, personalized experiences will ensure each customer finds their perfect fit, fostering lasting connections.

Integration Across Channels

Another trend shaping the future of marketing automation is the integration of multiple channels into a cohesive strategy. Today’s consumers interact with brands across various touchpoints, from social media and email to websites and mobile apps. Marketing automation platforms that can seamlessly integrate these channels and deliver consistent messaging will have a competitive edge. When creating a comparison website it’s important to ensure that the platform effectively aggregates data from diverse sources and presents it in a user-friendly manner, empowering consumers to make informed decisions.

Omni-channel integration not only betters the customer experience but also provides marketers with a comprehensive view of the customer journey. By tracking interactions across channels, businesses can gain valuable insights into how consumers engage with their brand, allowing them to refine their marketing strategies for maximum impact. Lastly, integrating SEO services into omni-channel strategies boosts visibility and helps businesses better understand and engage with their customers across different platforms.

The Human Element

While automation offers many benefits, it’s crucial not to overlook the human aspect of marketing. Despite advances in AI and machine learning, there are still elements of marketing that require human creativity, empathy, and strategic thinking.

Successful marketing automation strikes a balance between technology and human expertise. By using automation to handle routine tasks and data analysis, marketers can focus on what they do best – storytelling, building relationships, and driving innovation.

Conclusion

The future of marketing automation looks promising, offering improved efficiency and results for businesses of all sizes.

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As AI continues to advance and consumer expectations change, automation will play an increasingly vital role in keeping businesses competitive.

By embracing automation technologies, marketers can simplify processes, deliver more personalized experiences, and ultimately, achieve their business goals more effectively than ever before.

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